Loading…

Multidetector CT diagnosis of non-traumatic gastroduodenal perforation

Introduction To identify reliable CT features and assess the diagnostic performance of 64‐multidetector CT (MDCT) in diagnosing non‐traumatic gastroduodenal perforation (GDP). Methods We retrospectively reviewed 136 CT scans of patients with surgically proven non‐traumatic gastrointestinal perforati...

Full description

Saved in:
Bibliographic Details
Published in:Journal of medical imaging and radiation oncology 2016-04, Vol.60 (2), p.182-186
Main Authors: Lee, Dabee, Park, Mi-hyun, Shin, Byung Seok, Jeon, Gyeong Sik
Format: Article
Language:English
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 186
container_issue 2
container_start_page 182
container_title Journal of medical imaging and radiation oncology
container_volume 60
creator Lee, Dabee
Park, Mi-hyun
Shin, Byung Seok
Jeon, Gyeong Sik
description Introduction To identify reliable CT features and assess the diagnostic performance of 64‐multidetector CT (MDCT) in diagnosing non‐traumatic gastroduodenal perforation (GDP). Methods We retrospectively reviewed 136 CT scans of patients with surgically proven non‐traumatic gastrointestinal perforation during 7 years. 92 patients had GDP and 44 patients had other sites of perforation. CT features of perforation were evaluated and the sensitivity, specificity and likelihood ratios of each CT feature were estimated. Results The cause of GDP was peptic ulcer in 90 patients, gastric cancer in one patient, and foreign body of duodenal diverticulum in one patient. Extraluminal gas (97%) was most common CT feature of GDP, following by fluid or fat strand along gastroduodenum (89%), ascites (89%), wall defect and/or ulcer (84%), and wall thickening (72%). Of CT features, wall defect and/or ulcer showed the best positive likelihood ratios for GDP (36.83). Wall thickening also showed high positive likelihood ratios (10.52). Combined, these CT features showed 95% sensitivity and 93% specificity for localization of perforation site of GDP. Conclusion MDCT is useful in diagnosis of presence and site of GDP. Wall defect and/or ulcer and wall thickening have a high positive predictive value for localization of perforation site.
doi_str_mv 10.1111/1754-9485.12408
format article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_proquest_miscellaneous_1780512825</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>4017958281</sourcerecordid><originalsourceid>FETCH-LOGICAL-i3258-2d54ff07353cd4d89c960d0a58cf1be305b6435a399b54d857e314d2530bd7433</originalsourceid><addsrcrecordid>eNpdkcFPwyAUxonR6JyevZkmXrxUoUCBo043dZtLzIxHQgs1zK5MaKP77-1W3cF3eS98v--FfA-AMwSvUFvXiFESC8LpFUoI5Hugt3vZ382MHYHjEBYQpggRcQiOkpQKzgTtgeG0KWurTW3y2vloMI-0Ve-VCzZErogqV8W1V81S1TaP3lWovdON06ZSZbQyvnC-VVx1Ag4KVQZz-tv74HV4Px88xJPZ6HFwM4ktTiiPE01JUUCGKc410VzkIoUaKsrzAmUGQ5qlBFOFhchoq1NmMCI6oRhmmhGM--Cy27vy7rMxoZZLG3JTlqoyrgkSMQ4pSnjr6IOLf-jCNb79d0dBSHkiWur8l2qypdFy5e1S-bX8S6gFWAd82dKsdzqCcnMAuYlYbuKW2wPIp-njy2w7ts64c9pQm--dU_kPmTLMqHx7Hsnh-BaP78REIvwDF9CFnw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1780005829</pqid></control><display><type>article</type><title>Multidetector CT diagnosis of non-traumatic gastroduodenal perforation</title><source>Wiley</source><creator>Lee, Dabee ; Park, Mi-hyun ; Shin, Byung Seok ; Jeon, Gyeong Sik</creator><creatorcontrib>Lee, Dabee ; Park, Mi-hyun ; Shin, Byung Seok ; Jeon, Gyeong Sik</creatorcontrib><description>Introduction To identify reliable CT features and assess the diagnostic performance of 64‐multidetector CT (MDCT) in diagnosing non‐traumatic gastroduodenal perforation (GDP). Methods We retrospectively reviewed 136 CT scans of patients with surgically proven non‐traumatic gastrointestinal perforation during 7 years. 92 patients had GDP and 44 patients had other sites of perforation. CT features of perforation were evaluated and the sensitivity, specificity and likelihood ratios of each CT feature were estimated. Results The cause of GDP was peptic ulcer in 90 patients, gastric cancer in one patient, and foreign body of duodenal diverticulum in one patient. Extraluminal gas (97%) was most common CT feature of GDP, following by fluid or fat strand along gastroduodenum (89%), ascites (89%), wall defect and/or ulcer (84%), and wall thickening (72%). Of CT features, wall defect and/or ulcer showed the best positive likelihood ratios for GDP (36.83). Wall thickening also showed high positive likelihood ratios (10.52). Combined, these CT features showed 95% sensitivity and 93% specificity for localization of perforation site of GDP. Conclusion MDCT is useful in diagnosis of presence and site of GDP. Wall defect and/or ulcer and wall thickening have a high positive predictive value for localization of perforation site.</description><identifier>ISSN: 1754-9477</identifier><identifier>EISSN: 1754-9485</identifier><identifier>DOI: 10.1111/1754-9485.12408</identifier><identifier>PMID: 26598795</identifier><language>eng</language><publisher>Australia: Blackwell Publishing Ltd</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Causality ; Comorbidity ; Defects ; Female ; Humans ; intestines ; Localization ; Male ; Middle Aged ; multidetector computed tomography ; Multidetector Computed Tomography - statistics &amp; numerical data ; Patients ; peptic ulcer ; Peptic Ulcer - diagnostic imaging ; Peptic Ulcer - epidemiology ; Peptic Ulcer Perforation - diagnostic imaging ; Peptic Ulcer Perforation - epidemiology ; perforation ; Prevalence ; Reproducibility of Results ; Republic of Korea - epidemiology ; Risk Factors ; Sensitivity and Specificity ; Ulcers</subject><ispartof>Journal of medical imaging and radiation oncology, 2016-04, Vol.60 (2), p.182-186</ispartof><rights>2015 The Royal Australian and New Zealand College of Radiologists</rights><rights>2015 The Royal Australian and New Zealand College of Radiologists.</rights><rights>Copyright © 2016 The Royal Australian and New Zealand College of Radiologists</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27922,27923</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26598795$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lee, Dabee</creatorcontrib><creatorcontrib>Park, Mi-hyun</creatorcontrib><creatorcontrib>Shin, Byung Seok</creatorcontrib><creatorcontrib>Jeon, Gyeong Sik</creatorcontrib><title>Multidetector CT diagnosis of non-traumatic gastroduodenal perforation</title><title>Journal of medical imaging and radiation oncology</title><addtitle>Journal of Medical Imaging and Radiation Oncology</addtitle><description>Introduction To identify reliable CT features and assess the diagnostic performance of 64‐multidetector CT (MDCT) in diagnosing non‐traumatic gastroduodenal perforation (GDP). Methods We retrospectively reviewed 136 CT scans of patients with surgically proven non‐traumatic gastrointestinal perforation during 7 years. 92 patients had GDP and 44 patients had other sites of perforation. CT features of perforation were evaluated and the sensitivity, specificity and likelihood ratios of each CT feature were estimated. Results The cause of GDP was peptic ulcer in 90 patients, gastric cancer in one patient, and foreign body of duodenal diverticulum in one patient. Extraluminal gas (97%) was most common CT feature of GDP, following by fluid or fat strand along gastroduodenum (89%), ascites (89%), wall defect and/or ulcer (84%), and wall thickening (72%). Of CT features, wall defect and/or ulcer showed the best positive likelihood ratios for GDP (36.83). Wall thickening also showed high positive likelihood ratios (10.52). Combined, these CT features showed 95% sensitivity and 93% specificity for localization of perforation site of GDP. Conclusion MDCT is useful in diagnosis of presence and site of GDP. Wall defect and/or ulcer and wall thickening have a high positive predictive value for localization of perforation site.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Causality</subject><subject>Comorbidity</subject><subject>Defects</subject><subject>Female</subject><subject>Humans</subject><subject>intestines</subject><subject>Localization</subject><subject>Male</subject><subject>Middle Aged</subject><subject>multidetector computed tomography</subject><subject>Multidetector Computed Tomography - statistics &amp; numerical data</subject><subject>Patients</subject><subject>peptic ulcer</subject><subject>Peptic Ulcer - diagnostic imaging</subject><subject>Peptic Ulcer - epidemiology</subject><subject>Peptic Ulcer Perforation - diagnostic imaging</subject><subject>Peptic Ulcer Perforation - epidemiology</subject><subject>perforation</subject><subject>Prevalence</subject><subject>Reproducibility of Results</subject><subject>Republic of Korea - epidemiology</subject><subject>Risk Factors</subject><subject>Sensitivity and Specificity</subject><subject>Ulcers</subject><issn>1754-9477</issn><issn>1754-9485</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNpdkcFPwyAUxonR6JyevZkmXrxUoUCBo043dZtLzIxHQgs1zK5MaKP77-1W3cF3eS98v--FfA-AMwSvUFvXiFESC8LpFUoI5Hugt3vZ382MHYHjEBYQpggRcQiOkpQKzgTtgeG0KWurTW3y2vloMI-0Ve-VCzZErogqV8W1V81S1TaP3lWovdON06ZSZbQyvnC-VVx1Ag4KVQZz-tv74HV4Px88xJPZ6HFwM4ktTiiPE01JUUCGKc410VzkIoUaKsrzAmUGQ5qlBFOFhchoq1NmMCI6oRhmmhGM--Cy27vy7rMxoZZLG3JTlqoyrgkSMQ4pSnjr6IOLf-jCNb79d0dBSHkiWur8l2qypdFy5e1S-bX8S6gFWAd82dKsdzqCcnMAuYlYbuKW2wPIp-njy2w7ts64c9pQm--dU_kPmTLMqHx7Hsnh-BaP78REIvwDF9CFnw</recordid><startdate>201604</startdate><enddate>201604</enddate><creator>Lee, Dabee</creator><creator>Park, Mi-hyun</creator><creator>Shin, Byung Seok</creator><creator>Jeon, Gyeong Sik</creator><general>Blackwell Publishing Ltd</general><general>Wiley Subscription Services, Inc</general><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7X8</scope></search><sort><creationdate>201604</creationdate><title>Multidetector CT diagnosis of non-traumatic gastroduodenal perforation</title><author>Lee, Dabee ; Park, Mi-hyun ; Shin, Byung Seok ; Jeon, Gyeong Sik</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i3258-2d54ff07353cd4d89c960d0a58cf1be305b6435a399b54d857e314d2530bd7433</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Causality</topic><topic>Comorbidity</topic><topic>Defects</topic><topic>Female</topic><topic>Humans</topic><topic>intestines</topic><topic>Localization</topic><topic>Male</topic><topic>Middle Aged</topic><topic>multidetector computed tomography</topic><topic>Multidetector Computed Tomography - statistics &amp; numerical data</topic><topic>Patients</topic><topic>peptic ulcer</topic><topic>Peptic Ulcer - diagnostic imaging</topic><topic>Peptic Ulcer - epidemiology</topic><topic>Peptic Ulcer Perforation - diagnostic imaging</topic><topic>Peptic Ulcer Perforation - epidemiology</topic><topic>perforation</topic><topic>Prevalence</topic><topic>Reproducibility of Results</topic><topic>Republic of Korea - epidemiology</topic><topic>Risk Factors</topic><topic>Sensitivity and Specificity</topic><topic>Ulcers</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lee, Dabee</creatorcontrib><creatorcontrib>Park, Mi-hyun</creatorcontrib><creatorcontrib>Shin, Byung Seok</creatorcontrib><creatorcontrib>Jeon, Gyeong Sik</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of medical imaging and radiation oncology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lee, Dabee</au><au>Park, Mi-hyun</au><au>Shin, Byung Seok</au><au>Jeon, Gyeong Sik</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multidetector CT diagnosis of non-traumatic gastroduodenal perforation</atitle><jtitle>Journal of medical imaging and radiation oncology</jtitle><addtitle>Journal of Medical Imaging and Radiation Oncology</addtitle><date>2016-04</date><risdate>2016</risdate><volume>60</volume><issue>2</issue><spage>182</spage><epage>186</epage><pages>182-186</pages><issn>1754-9477</issn><eissn>1754-9485</eissn><abstract>Introduction To identify reliable CT features and assess the diagnostic performance of 64‐multidetector CT (MDCT) in diagnosing non‐traumatic gastroduodenal perforation (GDP). Methods We retrospectively reviewed 136 CT scans of patients with surgically proven non‐traumatic gastrointestinal perforation during 7 years. 92 patients had GDP and 44 patients had other sites of perforation. CT features of perforation were evaluated and the sensitivity, specificity and likelihood ratios of each CT feature were estimated. Results The cause of GDP was peptic ulcer in 90 patients, gastric cancer in one patient, and foreign body of duodenal diverticulum in one patient. Extraluminal gas (97%) was most common CT feature of GDP, following by fluid or fat strand along gastroduodenum (89%), ascites (89%), wall defect and/or ulcer (84%), and wall thickening (72%). Of CT features, wall defect and/or ulcer showed the best positive likelihood ratios for GDP (36.83). Wall thickening also showed high positive likelihood ratios (10.52). Combined, these CT features showed 95% sensitivity and 93% specificity for localization of perforation site of GDP. Conclusion MDCT is useful in diagnosis of presence and site of GDP. Wall defect and/or ulcer and wall thickening have a high positive predictive value for localization of perforation site.</abstract><cop>Australia</cop><pub>Blackwell Publishing Ltd</pub><pmid>26598795</pmid><doi>10.1111/1754-9485.12408</doi><tpages>5</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1754-9477
ispartof Journal of medical imaging and radiation oncology, 2016-04, Vol.60 (2), p.182-186
issn 1754-9477
1754-9485
language eng
recordid cdi_proquest_miscellaneous_1780512825
source Wiley
subjects Adult
Aged
Aged, 80 and over
Causality
Comorbidity
Defects
Female
Humans
intestines
Localization
Male
Middle Aged
multidetector computed tomography
Multidetector Computed Tomography - statistics & numerical data
Patients
peptic ulcer
Peptic Ulcer - diagnostic imaging
Peptic Ulcer - epidemiology
Peptic Ulcer Perforation - diagnostic imaging
Peptic Ulcer Perforation - epidemiology
perforation
Prevalence
Reproducibility of Results
Republic of Korea - epidemiology
Risk Factors
Sensitivity and Specificity
Ulcers
title Multidetector CT diagnosis of non-traumatic gastroduodenal perforation
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-14T10%3A23%3A45IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Multidetector%20CT%20diagnosis%20of%20non-traumatic%20gastroduodenal%20perforation&rft.jtitle=Journal%20of%20medical%20imaging%20and%20radiation%20oncology&rft.au=Lee,%20Dabee&rft.date=2016-04&rft.volume=60&rft.issue=2&rft.spage=182&rft.epage=186&rft.pages=182-186&rft.issn=1754-9477&rft.eissn=1754-9485&rft_id=info:doi/10.1111/1754-9485.12408&rft_dat=%3Cproquest_pubme%3E4017958281%3C/proquest_pubme%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i3258-2d54ff07353cd4d89c960d0a58cf1be305b6435a399b54d857e314d2530bd7433%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1780005829&rft_id=info:pmid/26598795&rfr_iscdi=true